Teru Kawasoe

1.6k citations
18 papers · 1.3k indexed · 1 hit paper · h-index 11

Teru Kawasoe

18 papers receiving 1.3k citations

Hit Papers

AXIN1 mutations in hepatocellular carcinomas, and growth ...7922000202620082017250500750

Peers

Teru Kawasoe
Comparison fields: 5 of 79
  • Cancer Research 292
  • Molecular Biology 953
  • Oncology 332
  • Pathology and Forensic Medicine 183
  • Hepatology 77
Replace Ian A.J. Lorimer with:
Ian A.J. Lorimer Canada
Kandavel Shanmugam United States
Tadashi Nishiwaki Japan
Robert Lesurf United States
Mary K. Washington United States
Jane D. Holland Germany
Kyoung Eun Lee United States
Chee Wai Chua Hong Kong
Alice Faversani Italy
Matthew T. Harbison United States
Teru Kawasoe relative to Ian A.J. Lorimer Canada Ian A.J. Lorimer's profile →
Citations per field
00.5×1.5×
Ian A.J. Lorimer · 1×
Citations per year

Countries citing papers authored by Teru Kawasoe

Since Specialization
Citations

This map shows the geographic impact of Teru Kawasoe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Teru Kawasoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teru Kawasoe more than expected).

Fields of papers citing papers by Teru Kawasoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teru Kawasoe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Teru Kawasoe. The network helps show where Teru Kawasoe may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Teru Kawasoe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teru Kawasoe Line = papers co-authored together Teru Kawasoe links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20208
2 20171
3 201516
4
Nuclear corepressor 1 expression predicts response to first-line endocrine therapy for breast cancer patients on relapse.
200910
5 200955
6 200918
7 200921
8
[A case of spindle cell carcinoma of the breast including metaplastic lesion with poor prognosis].
20091
9 200831
10 2007126
11 200654
12 20067
13 200152
14 200034
15
AXIN1 mutations in hepatocellular carcinomas, and growth suppression in cancer cells by virus-mediated transfer of AXIN1breakdown →
2000792
16 20004
17 200037
18 19999

About Teru Kawasoe

Teru Kawasoe is a scholar working on Cancer Research, Immunology and Allergy and Oncology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Cancer-related gene regulation (4 papers), Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers), Breast Lesions and Carcinomas (3 papers), Advanced Breast Cancer Therapies (2 papers), Cellular Mechanics and Interactions (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (292 citations), Molecular Biology (953 citations) and Oncology (332 citations). Teru Kawasoe has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Yataro Daigo, Tadashi Nishiwaki, Yoichi Furukawa, Hideyuki Ishiguro, Yusuke Nakamura, Manabu Fujita, Seiji Satoh, Nobutomo Miwa, Hirotaka Iwase and Tatsushi Kato. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and Clinical Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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